Malak SAIEM

Malak SAIEM is a researcher affiliated with the Université de Technologie de Compiègne (UTT), specializing in operations research and quantum computing applications. Her work focuses on optimization challenges in industrial engineering, particularly flow shop scheduling problems and predictive maintenance strategies for railway systems. She explores innovative solutions using quantum algorithms (e.g., Grover's algorithm) to address complex combinatorial optimization tasks.

Recent research contributions include cost analysis of railway maintenance practices and enhanced quantum unconstrained binary optimization (QUBO) formulations for scheduling. Her interdisciplinary approach bridges quantum computing with transportation and manufacturing systems.

No scientific awards or advisory roles are explicitly mentioned in the available data.